Predicting Antimalarial Activity in Natural Products Using Pretrained Bidirectional Encoder Representations from Transformers. - Thanh-Hoang Nguyen-Vo; Quang H. Trinh; Loc Nguyen; Trang T. T. Do 001; Matthew Chin Heng Chua; Binh P. Nguyen (J. Chem. Inf. Model., 2022)

iCYP-MFE: Identifying Human Cytochrome P450 Inhibitors Using Multitask Learning and Molecular Fingerprint-Embedded Encoding. - Thanh-Hoang Nguyen-Vo; Quang H. Trinh; Loc Nguyen; Phuong-Uyen Nguyen-Hoang; Thien-Ngan Nguyen; Dung T. Nguyen; Binh P. Nguyen; Ly Le (J. Chem. Inf. Model., 2022)

iANP-EC: Identifying Anticancer Natural Products Using Ensemble Learning Incorporated with Evolutionary Computation. - Loc Nguyen; Thanh-Hoang Nguyen-Vo; Quang H. Trinh; Bach Hoai Nguyen; Phuong-Uyen Nguyen-Hoang; Ly Le; Binh P. Nguyen (J. Chem. Inf. Model., 2022)

iR6mA-RNN: Identifying N6-Methyladenosine Sites in Eukaryotic Transcriptomes using Recurrent Neural Networks and Sequence-embedded Features. - Binh P. Nguyen; Thanh-Hoang Nguyen-Vo; Loc Nguyen; Quang H. Trinh; Chalinor Baliuag; Trang T. T. Do 001; Susanto Rahardja (SSP, 2023)

From SMILES to Enhanced Molecular Property Prediction: A Unified Multimodal Framework with Predicted 3D Conformers and Contrastive Learning Techniques. - Long D. Nguyen; Quang H. Nguyen 001; Quang H. Trinh; Binh P. Nguyen (J. Chem. Inf. Model., 2024)

Predicting Cardiotoxicity of Molecules Using Attention-Based Graph Neural Networks. - Tuan Vinh; Loc Nguyen; Quang H. Trinh; Thanh-Hoang Nguyen-Vo; Binh P. Nguyen (J. Chem. Inf. Model., 2024)